Sematch: Semantic Similarity Framework for Knowledge Graphs
Ganggao Zhu & Carlos A. Iglesias. (2017). Sematch: Semantic Similarity Framework for Knowledge Graphs. Knowledge-Based Systems.
Abstract:
Sematch is an integrated framework for the development, evaluation and application of semantic similarity in Knowledge Graphs (KGs). The framework provides a number of similarity datasets and tools, and allow users to interact with KGs.